What is Einstein Lead Scoring and how is it configured?

Einstein Lead Scoring uses machine learning trained on an org's historical lead conversion data to predict how likely each lead is to convert. The model analyses patterns across lead fields (job title, industry, lead source, company size, etc.) and surfaces a score (1–99) plus the top factors driving that score. Configuration:

1. Enable Einstein Lead Scoring in Setup under Einstein > Lead Scoring.
2. Ensure there is sufficient historical conversion data (Salesforce recommends ≥ 1,000 converted leads in 6 months).
3. Optionally configure Scoring Segments to build separate models for different lead segments (e.g., by region or lead source) for higher accuracy.
4. Add the Einstein Lead Score field and Scoring Factors component to lead page layouts and list views.
5. Assign the Einstein Analytics permission set licence. Sales reps use the score to prioritise their outreach queue.